| 可见光与红外图像增强融合算法研究 |
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| 引用本文： | 吉书鹏,丁晓青.可见光与红外图像增强融合算法研究[J].红外与激光工程,2002,31(6):518-521,544. |
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| 作者姓名： | 吉书鹏 丁晓青 |
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| 作者单位： | 1. 清华大学电子工程系,北京,100084;中国空空导弹研究院,河南,洛阳,471009
2. 清华大学电子工程系,北京,100084 |
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| 摘 要： | 提出了自适应图像增强算法，用于可见光和红外图像的融合。首先对输入的可见光图像和红外图像进行自适应增强，然后采用基于图像空间能量窗及归一化互相关测度构造融合图像，利用图像的信息熵评估算法的融合效果，最后给出了一组可见光和红外图像融合的试验结果，表明该算法十分有效，融合图像有丰富的互补信息，有利于人眼观察和目标识别。
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| 关 键 词： | 可见光 红外图像 图像融合 自适应增强 信息熵 融合测度 |
| 文章编号： | 1007-2276(2002)06-0518-04 |
| 收稿时间： | 2002/6/24 |
Study on image enhancing fusion algorithm of visible and infrared image |
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| JI Shu\|peng\\{,\},DING Xiao\|Qing\.Study on image enhancing fusion algorithm of visible and infrared image[J].Infrared and Laser Engineering,2002,31(6):518-521,544. |
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| Authors: | JI Shu\|peng\\{ \} DING Xiao\|Qing\ |
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| Affiliation: | JI Shu\|peng\+\{1,2\},DING Xiao\|Qing\+1 |
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| Abstract: | A novel adaptive image enhancing fusion algorithm which is used to fuse visible and infrared image is presented. At first, the new algorithm performs adaptive enhancement of visible and infrared image. Then, the fused image is constructed based on spatial local energy and local normalized correlation measure. The fusion performance is estimated using entropy. Experimental results of visible and infrared image fusion are given, which show that the proposed method is effective and fused image can provide more complementary information for personnel and target recognition. |
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| Keywords: | Image fusion Adaptive enhancement Entropy Fusion measure |
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